Bangolo AI, Fwelo P, Trivedi C, Sagireddy S, Aljanaahi H, Auda A, Mohamed M, Onyeka S, Fisher M, Thapa J, Tabucanon EJ, Georgiev L, Wishart A, Kumari S, Erikson C, Bangura M, Paddy O, Madhukar R, Gomez EL, Rathod J, Naria M, Hajal B, Awadhalla M, Siegel D, Parmar H, Biran N, Vesole DH, Phull P, Weissman S. Interaction between age and gender on survival outcomes in extramedullary multiple myeloma over the past two decades. World J Clin Oncol 2023; 14(4): 179-189 [PMID: 37124133 DOI: 10.5306/wjco.v14.i4.179]
Corresponding Author of This Article
Ayrton I Bangolo, MBBS, MD, Doctor, Department of Medicine, Palisades Medical Center, 7600 River Road, North Bergen, NJ 07047, United States. ayrtonbangolo@yahoo.com
Research Domain of This Article
Oncology
Article-Type of This Article
Retrospective Cohort Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Oncol. Apr 24, 2023; 14(4): 179-189 Published online Apr 24, 2023. doi: 10.5306/wjco.v14.i4.179
Table 1 Demographic and Clinicopathologic characteristics of United States patients with extramedullary multiple myeloma between 2000 and 2017
Characteristics
n
%
Total
858
100
Gender
Female
311
36.25
Male
547
63.25
Age at diagnosis, yr
0-39
41
4.78
40-59
309
36.01
60-79
438
51.05
80+
70
8.16
Race
Non-Hispanic white
573
66.78
Non-Hispanic black
133
15.50
Hispanic
110
12.82
Other
42
4.90
Extramedullary site
CNS and vertebral column
284
33.10
Bones, subcutaneous tissues, connective tissues, and soft tissues of the trunk
108
12.59
Bones, soft tissues, subcutaneous tissues, and connective tissues of the pelvis and sacrum
97
11.31
Bones, soft tissues, subcutaneous tissues, connective tissues, and lymph nodes of the upper extremities
64
7.46
Bones, soft tissues, subcutaneous tissues, and connective tissues of the lower extremities
45
5.24
Bones, soft tissues, subcutaneous tissues, connective tissues, and lymph nodes of the face and skull
60
6.99
Other bones, NOS
37
4.31
Eyes, mouth, and ENT
101
11.77
Lung, breast, and mediastinum
26
3.03
Gastrointestinal tract
18
2.10
Skin
12
1.40
Kidney, suprarenal glands, and retroperitoneum
6
0.70
Living area
Counties in metropolitan areas of 1 million persons
481
56.06
Counties in metropolitan areas of 250000 to 1 million persons
173
20.16
Counties in metropolitan areas of 250000 persons
76
8.86
Nonmetropolitan counties adjacent to a metropolitan area
77
8.97
Nonmetropolitan counties not adjacent to a metropolitan area
51
5.94
Income per year
< $35000
12
1.40
$35000-44999
74
8.62
$45000-54999
154
17.95
$55000-64999
232
27.04
$65000-74999
183
21.33
$75000+
203
23.66
Marital Status
Married
569
66.32
Single
106
12.35
Divorced/separated
79
9.21
Widowed
62
7.23
Unknown
42
4.90
Table 2 Crude analysis of factors associated with all-cause mortality and extramedullary multiple myeloma; related mortality among United States patients between 2000 and 2017
Characteristics
Overall mortality
EMD MM mortality
Crude proportional-hazard ratio (95% confidence interval)
Table 3 Multivariate cox proportional hazard regression analyses of factors affecting all-cause mortality and extramedullary disease multiple myeloma related mortality among United States patients between 2000 and 2017
Characteristics
Overall mortality
EMD MM mortality
Adjusted proportional hazard ratio (95% confidence interval)
Table 4 Joint test analysis of the predictors of extramedullary multiple myeloma and overall mortality among United States extramedullary multiple myeloma patients, 2000-2017
Variables
MM mortality
Overall mortality
DF
χ2
P value
χ2
P value
Race/ethnicity
3
5.7436
0.1248
3.2403
0.3560
Age at diagnosis
3
21.2193
< 0.0001
49.2869
< 0.0001
Gender
1
0.5044
0.4776
0.5168
0.4722
Extramedullary Site
11
16.6070
0.1200
15.6578
0.1543
Living area
4
2.1023
0.7169
0.8175
0.9361
Income
5
7.3539
0.1956
7.4157
0.1915
Marital status
3
10.8183
0.0128
11.7967
0.0081
chemotherapy
1
2.3104
0.1285
1.4536
0.2280
Year of diagnosis
17
25.3142
0.0879
16.1848
0.5108
Interaction between age and gender
3
2.1285
0.5462
1.0296
0.7941
Citation: Bangolo AI, Fwelo P, Trivedi C, Sagireddy S, Aljanaahi H, Auda A, Mohamed M, Onyeka S, Fisher M, Thapa J, Tabucanon EJ, Georgiev L, Wishart A, Kumari S, Erikson C, Bangura M, Paddy O, Madhukar R, Gomez EL, Rathod J, Naria M, Hajal B, Awadhalla M, Siegel D, Parmar H, Biran N, Vesole DH, Phull P, Weissman S. Interaction between age and gender on survival outcomes in extramedullary multiple myeloma over the past two decades. World J Clin Oncol 2023; 14(4): 179-189